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Phytoplankton, Microbial Source Tracking, and Metagenomics Data for Evaluation of Restoration Efforts at Urban Beaches on Southern and Western Lake Michigan, 2016-2018


Publication Date


Fargen, C.A., and Cole, T.R., 2019, Phytoplankton, microbial source tracking, and metagenomics data for evaluation of restoration efforts at urban beaches on southern and western Lake Michigan, 2016-2018: U.S. Geological Survey data release,


The U.S. Geological Survey (USGS), in cooperation with the Great Lakes Restoration Initiative, collected data in 2017 to study the sources and occurrences of continual detections of high Escherichia coli (E. coli) detections at urban beaches along the Lake Michigan shoreline in northwest Indiana and northeastern Illinois. High E. coli detections cause the beaches to be closed for recreational use until additional samples verify that E. coli levels have fallen below the threshold of 235 counts per 100 ml. The project used microbial source tracking (MST) and metagenomics analyses to evaluate the sources of E. coli. This data release provides the phytoplankton, mictobial source tracking, and metagenomics components of the study and may [...]

Child Items (3)


Principal Investigator :
Travis R Cole
Associate Project Chief :
Meredith Nevers, P. Ryan Jackson
Originator :
Catherine A Fargen
Distributor :
U.S. Geological Survey - ScienceBase
USGS Mission Area :
Environmental Health
SDC Data Owner :
Ohio-Kentucky-Indiana Water Science Center


The goal of the larger project is to provide relevant scientific data to support best management practices at urban beaches along the shores of Lake Michigan. Microbial source tracking (MST), E. coli concentrations, water-quality parameters, and surface-water flow vectors were collected in both surface-water and groundwater at the beaches and near shore areas to help determine the sources and distribution of persistent E. coli communities that cause the beaches to be closed because of health concerns. Bacterial community metagenomics were determined using 16S ribosomal RNA (16S rRNA) to measure the relative abundance of bacterial species found in water in order to determine sources of fecal contamination by detecting host-specific markers in water samples.

Additional Information


Type Scheme Key
DOI doi:10.5066/P981QCF7

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